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list | cbcBayesPosToSimBurst.sim_inspiral_dt |
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| cbcBayesPosToSimBurst.parser |
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| cbcBayesPosToSimBurst.opts |
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| cbcBayesPosToSimBurst.args |
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def | cbcBayesPosToSimBurst.infilename = get_input_filename(parser, args) |
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| cbcBayesPosToSimBurst.params = inp.readline().split() |
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| cbcBayesPosToSimBurst.samples = np.loadtxt(inp, dtype=[(p, np.float) for p in params]) |
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| cbcBayesPosToSimBurst.N = opts.num_of_injs |
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| cbcBayesPosToSimBurst.selection = np.arange(N) |
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| cbcBayesPosToSimBurst.injections = np.zeros((N,), dtype=sim_inspiral_dt) |
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| cbcBayesPosToSimBurst.q |
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| cbcBayesPosToSimBurst.dur |
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| cbcBayesPosToSimBurst.ids = range(N) |
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float | cbcBayesPosToSimBurst.est_time = samples['time_min']+0.5*(samples['time_max']-samples['time_min']) |
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| cbcBayesPosToSimBurst.xmldoc = ligolw.Document() |
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| cbcBayesPosToSimBurst.proc = igwn_ligolw.utils.process.register_to_xmldoc(doc, sys.argv[0], {}) |
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| cbcBayesPosToSimBurst.timeslide_table = lsctables.New(lsctables.TimeSlideTable) |
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| cbcBayesPosToSimBurst.timeslide_id |
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| cbcBayesPosToSimBurst.sim_table = lsctables.New(lsctables.SimBurstTable) |
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| cbcBayesPosToSimBurst.row = sim_table.RowType() |
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| cbcBayesPosToSimBurst.process_id |
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| cbcBayesPosToSimBurst.simulation_id |
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| cbcBayesPosToSimBurst.time_slide_id |
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| cbcBayesPosToSimBurst.vals = injections[field] |
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| cbcBayesPosToSimBurst.output_file = open(opts.output, 'w') |
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